MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.
- Jiebiao Wang and Lin S. Chen
- Date of publication
- 2016-04-06 09:43:04
- Jiebiao Wang <firstname.lastname@example.org>
- Mixed Random Forest
- Impute a large number of genes using the MixRF algorithm with...
- A random-forest-based algorithm for imputing clustered...
- Simulated data list
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